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Record W3120634340 · doi:10.17816/ptors25809

Congenital dislocation of the knee: a morphological study

2021· article· en· W3120634340 on OpenAlexaff
Igor Yu. Kruglov, Olga Е. Agranovich, Nicolai Yu. Rumyantsev, Olga Yu. Razmologova, Andrey Kolobov, Gamzat G. Omarov, Danil S. Kleshch, Natalia N. Rumiantceva

Bibliographic record

VenuePediatric Traumatology Orthopaedics and Reconstructive Surgery · 2021
Typearticle
Languageen
FieldMedicine
TopicNeurogenetic and Muscular Disorders Research
Canadian institutionsNational Defence Medical Centre
Fundersnot available
KeywordsMedicineDislocationSurgeryAnatomyCrystallography

Abstract

fetched live from OpenAlex

Background. Congenital knee dislocation is a rare disease of the musculoskeletal system (1 in 100,000 live births). In the literature, few studies have described the anatomical changes characteristic of this pathology, which are only revealed during surgical treatment. Aim. This study aimed to evaluate the pathomorphological features of the ligamentousarticular apparatus and thigh muscles with congenital knee dislocation on autopsy material. Materials and methods. The study included two fetuses with bilateral congenital knee dislocation after spontaneous miscarriage at 18 and 20 weeks of gestation and one stillborn fetus with bilateral congenital knee dislocation at 29 weeks of gestation. The comparison group was composed of two fetuses after spontaneous miscarriages at 18 and 20 weeks of gestation and one stillborn fetus at 25 weeks of gestation without anomalies of the lower extremities. Results. Various abnormalities and displacements of the anatomical structures, as well as degenerative dystrophic changes in the soft tissues during histological examination, were found. Pathomorphological changes in the control group were not detected. Conclusion. Pathomorphological changes are the main manifestations of congenital knee dislocation in the studied fetuses.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.021
Threshold uncertainty score0.346

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.025
GPT teacher head0.269
Teacher spread0.244 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2021
Admission routes1
Has abstractyes

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